In this paper, we report on our experiments for detection and correction of OCR errors with web data. More specifically, we utilize Google search to access ...

In this paper, we report on our experiments for detection and correction of OCR errors with web data. More specifically, we utilize Google search to access ...

This paper proposes a post-processing context-based error correction algorithm for detecting and correcting OCR non-word and real-word errors. The proposed ...

2013/08/01 · Abstract. In this thesis, we report on our experiments for detection and correction of OCR errors with web data.

Kazem Taghva, Shivam Agarwal: Utilizing web data in identification and correction of OCR errors. DRR 2014: 902109-902109-6.

Bibliography of Software Language Engineering in Generated Hypertext (BibSLEIGH) is created and maintained by Dr. Vadim Zaytsev. Hosted as a part of SLEBOK on ...

2013/08/01 · ... OCR error correction, based on huge database of Google's online web search engine. ... Precise and efficient text correction using Levenshtein ...

2023/06/06 · In this paper, we propose a novel unsupervised approach for OCR error correction. Correction candidates for OCR errors are generated and explored in their ...

Utilizing web data in identification and correction of OCR errors. K. Taghva, Shivam Agarwal. 2013, Electronic imaging. BGDMdocker: a Docker workflow for data ...

2023/07/30 · This paper proposes an innovative method for training a light-weight neural network for Hebrew OCR post-correction using significantly less manually created ...